WO2016179903A1 - Plateforme d'hôpital en réseau, plateforme d'experts et procédé de demande de consultation d'expert - Google Patents

Plateforme d'hôpital en réseau, plateforme d'experts et procédé de demande de consultation d'expert Download PDF

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Publication number
WO2016179903A1
WO2016179903A1 PCT/CN2015/085115 CN2015085115W WO2016179903A1 WO 2016179903 A1 WO2016179903 A1 WO 2016179903A1 CN 2015085115 W CN2015085115 W CN 2015085115W WO 2016179903 A1 WO2016179903 A1 WO 2016179903A1
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WO
WIPO (PCT)
Prior art keywords
expert
platform
information
consultation
network hospital
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Application number
PCT/CN2015/085115
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English (en)
Chinese (zh)
Inventor
张贯京
陈兴明
葛新科
张少鹏
方静芳
普拉纽克•克里斯基捏
古列莎•艾琳娜
波达别特•伊万
王海荣
高伟明
李慧玲
徐之艳
周亮
梁昊原
肖应芬
Original Assignee
深圳市贝沃德克生物技术研究院有限公司
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Publication of WO2016179903A1 publication Critical patent/WO2016179903A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass

Definitions

  • the invention relates to the technical field of medical technology, in particular to a network hospital platform, an expert platform and an expert consultation request method.
  • the remote consultation is a medical consultation method that uses the remote communication system to check, diagnose, and consult the patient's physical condition.
  • the remote consultation system is more and more widely used in medicine.
  • the more traditional appointments in teleconsultations are mainly made by telephone or other manual methods. It is time-consuming and laborious.
  • the patient's data is posted to the hospital backstage or platform through the network. Directly select cases for diagnosis.
  • the current appointment method requires experts to schedule the time. It is more difficult to make multiple appointments for consultation at the same time, so it takes a long time, and usually the specialist will schedule the consultation after a few days. The appointment period is not timely.
  • the main purpose of the present invention is to provide a network hospital platform, an expert platform, and an expert consultation request method, which can improve the appointment efficiency of the expert consultation, improve the timeliness, and reduce the appointment period.
  • the present invention provides an expert consultation request method based on a network hospital platform, and the expert consultation request method includes the following steps:
  • the network hospital platform receives an expert consultation request message sent by the user terminal, where the expert consultation request message includes patient information;
  • the network hospital platform sends an expert consultation request including the patient information to the expert platform, and receives a list of experts provided by the expert platform according to the patient information;
  • the network hospital platform matches the corresponding expert information in the expert list, and determines the consultation information
  • the expert platform sends the patient information and consultation information sent by the network hospital platform to the matching experts.
  • the network hospital platform sends an authentication request to the expert platform, where the verification request includes login information;
  • the network hospital platform is connected to the expert platform.
  • the expert consultation request method further comprises the steps of:
  • the expert platform obtains the expert information of each hospital, classifies the experts according to the expert department, and generates a list of experts based on the expert name, expert department and expert scheduling information.
  • the patient information includes at least basic information of the patient and the condition information;
  • the expert information includes at least an expert name, an expert department, and expert scheduling information;
  • the consultation information includes at least a consultation time and a consultation location.
  • the network hospital platform sends an authentication request to the expert platform, where the verification request includes login information;
  • the network hospital platform is connected to the expert platform.
  • the expert consultation request method further comprises the steps of:
  • the expert platform obtains the expert information of each hospital, classifies the experts according to the expert department, and generates a list of experts based on the expert name, expert department and expert scheduling information.
  • the step of the network hospital platform matching the corresponding expert information in the expert list and determining the consultation information comprises:
  • the network hospital platform matches the corresponding expert information in the expert list according to the patient information
  • the network hospital platform determines the consultation information based on the expert scheduling information.
  • the network hospital platform sends an authentication request to the expert platform, where the verification request includes login information;
  • the network hospital platform is connected to the expert platform.
  • the expert consultation request method further comprises the steps of:
  • the expert platform obtains the expert information of each hospital, classifies the experts according to the expert department, and generates a list of experts based on the expert name, expert department and expert scheduling information.
  • the present invention further provides a network hospital platform, where the network hospital platform includes:
  • a message receiving module configured to receive an expert consultation request message sent by the user terminal, where the expert consultation request message includes patient information
  • a transceiver module configured to send an expert consultation request including the patient information to the expert platform, and receive a list of experts provided by the expert platform according to the patient information;
  • a matching module configured to match the corresponding expert information in the expert list, and determine the consultation information, and send the expert information and the consultation information to the expert platform, and the expert platform sends the patient information and the consultation information to the matching platform. expert.
  • the network hospital platform further includes a verification module, and the verification module is configured to:
  • the matching module is specifically configured to:
  • Consultation information is determined based on expert scheduling information.
  • the network hospital platform further includes a verification module, and the verification module is configured to:
  • the present invention also provides an expert platform, the expert platform comprising:
  • the request receiving module is configured to receive an expert consultation request sent by the network hospital platform, where the expert consultation request includes patient information and consultation information;
  • a list providing module configured to provide a corresponding expert list to the network hospital platform according to the patient information
  • the information sending module is configured to send the patient information and the consultation information sent by the network hospital to the matching experts.
  • the expert platform further comprises:
  • the list generation module is used to obtain the expert data of each hospital, classify the experts according to the expert department, and generate a list of experts according to the expert name, the expert department and the expert scheduling information.
  • the network hospital platform After receiving the expert consultation request message including the patient information sent by the user terminal, the network hospital platform sends an expert consultation request including the patient information to the expert platform, and matches the corresponding expert list after receiving the expert list provided by the expert platform according to the patient information. Expert information and identification of consultation information; the expert platform sends patient information and consultation information to matching experts.
  • the expert platform is requested to consult the expert platform, and after the expert platform returns to the expert list, the corresponding experts are matched, and the consultation information can be determined according to the expert scheduling information, without manual reservation, and no need to wait for a long time, thereby improving
  • the efficiency of appointments for expert consultations increases the timeliness of appointments and reduces the appointment period.
  • FIG. 1 is a schematic flow chart of a first embodiment of an expert consultation request method based on a network hospital platform according to the present invention
  • FIG. 2 is a schematic diagram of a refinement process of step S30 in FIG. 1;
  • FIG. 3 is a schematic flowchart of a second embodiment of an expert consultation request method based on a network hospital platform according to the present invention
  • FIG. 4 is a schematic flowchart of a third embodiment of an expert consultation request method based on a network hospital platform according to the present invention.
  • FIG. 5 is a schematic structural diagram of a first embodiment of a network hospital platform according to the present invention.
  • FIG. 6 is a schematic structural diagram of a second embodiment of a network hospital platform according to the present invention.
  • FIG. 7 is a schematic structural view of a first embodiment of an expert platform of the present invention.
  • FIG. 8 is a schematic structural view of a second embodiment of an expert platform of the present invention.
  • the network hospital platform, the expert platform and the expert consultation request method provided by the invention request an expert consultation from the expert platform through the network hospital platform, and match the corresponding experts after returning the expert list on the expert platform, and can determine the consultation according to the expert scheduling information.
  • Information can improve the efficiency of appointments for expert consultations, improve the timeliness of appointments, and reduce the appointment period.
  • FIG. 1 is a schematic flowchart diagram of a first embodiment of an expert consultation request method based on a network hospital platform according to the present invention.
  • the expert consultation request method includes:
  • Step S10 The network hospital platform receives an expert consultation request message sent by the user terminal, where the expert consultation request message includes patient information;
  • the user terminal logs into the network hospital platform, and specifically can request to log in to the network hospital platform through the Internet.
  • the user terminal sends an expert to the network hospital platform according to the user's demand.
  • the consultation request message includes patient information including at least basic information such as the patient's name, age, gender, and family medical history, and the patient's current condition information.
  • the network hospital platform will review the disease information to determine whether it is necessary to request an expert consultation on the patient's current condition information.
  • Step S20 The network hospital platform sends an expert consultation request including the patient information to the expert platform, and receives a list of experts provided by the expert platform according to the patient information;
  • the expert consultation request is sent to the expert platform, and the expert consultation request includes the patient information; after receiving the expert consultation request, the expert platform selects the expert information according to the patient information. , select a list of experts corresponding to the patient information, and provide the list of experts to the network hospital platform.
  • the expert platform selects the corresponding expert list, it is preferred to adopt a keyword matching method, for example, extracting keywords corresponding to the disease information in the patient information, and screening and filtering in the expert database according to the extracted keywords.
  • a list of experts corresponding to the disease information is preferred to adopt a keyword matching method, for example, extracting keywords corresponding to the disease information in the patient information, and screening and filtering in the expert database according to the extracted keywords.
  • Step S30 the network hospital platform matches the corresponding expert information in the expert list, and determines the consultation information
  • step S40 the expert platform sends the patient information and the consultation information sent by the network hospital platform to the matching experts.
  • the network hospital platform selects the expert list provided by the expert platform, that is, matches the expert information corresponding to the patient information, and the expert information includes at least the related information of the expert name, the expert department and the expert scheduling information, and then according to the matched expert.
  • the information determines the consultation information.
  • the consultation information includes at least the consultation time and the consultation location, etc., to indicate to the expert the specific consultation method, and send the matched expert information and consultation information to the expert platform.
  • the expert platform sends the received patient information and consultation information to the experts corresponding to the expert information, and prompts the experts to conduct consultations according to the consultation time and the consultation site.
  • the network hospital platform After receiving the expert consultation request message including the patient information sent by the user terminal, the network hospital platform sends an expert consultation request including the patient information to the expert platform, and matches the expert list provided by the expert platform according to the patient information. Expert information and determine consultation information; the expert platform sends patient information and consultation information to matching experts. Through the network hospital platform, the expert platform is requested to consult the expert platform, and after the expert platform returns to the expert list, the corresponding experts are matched.
  • the consultation information can be determined according to the expert scheduling information, without manual reservation, and no need to wait for a long time, thereby improving The appointment efficiency of the expert consultation has improved the timeliness of the appointment and reduced the appointment period.
  • FIG. 2 is a schematic diagram of the refinement process of step S30 in FIG.
  • step S30 specifically includes:
  • Step S301 the network hospital platform matches the corresponding expert information in the expert list according to the patient information
  • step S302 the network hospital platform determines the consultation information according to the expert scheduling information.
  • the network hospital platform matches the expert information, specifically, according to the condition information in the patient information, the information of the corresponding expert of the department may be selected in the expert list, and a more precise selection may be made under the selection of the department. Select one or more of the best matching experts; after matching the corresponding expert information, determine the consultation information according to the scheduled time of the selected expert, that is, according to the expert's scheduling time, determine that the expert has free time as the consultation time, And determine the location of the consultation.
  • the network hospital platform sends the matched expert information and the determined consultation information to the expert platform for the expert platform to send to the corresponding expert.
  • FIG. 3 is a schematic flowchart diagram of a second embodiment of an expert consultation request method based on a network hospital platform according to the present invention.
  • the expert consultation request method further includes:
  • Step S50 the network hospital platform sends a verification request to the expert platform
  • step S51 after the verification is passed, the network hospital platform is connected with the expert platform.
  • the network hospital platform is connected to the expert platform, and must be registered with the expert platform in advance. After the registration is successful, the expert platform allocates login information including the user name and the login password to the network hospital platform. Before the network hospital platform sends the expert consultation request to the expert platform, sending a verification request to the expert platform, the verification request includes login information to request to log in to the expert platform, and the expert platform verifies the login information, that is, determines whether the login information is correct, After determining the correctness, feedback to the network hospital platform, the network hospital platform can establish a connection with the expert platform.
  • FIG. 4 is a schematic flowchart diagram of a third embodiment of an expert consultation request method based on a network hospital platform according to the present invention.
  • the first embodiment of the expert consultation request method based on the network hospital platform of the present invention, the third embodiment, the expert consultation request method further includes:
  • step S60 the expert platform obtains the expert data of each hospital, classifies the experts according to the expert department, and generates an expert list according to the expert name, the expert department and the expert scheduling information.
  • the expert platform obtains expert information from various hospitals, including the expert's name, department, good at illness and other basic materials, as well as the expert's personal resume and the expert's scheduling information in the hospital, etc., and classifies the obtained expert data. Classification can be classified according to the department, or according to the expert scheduling information or other information; after classification, the expert list is generated according to the expert's name, department, good at illness and scheduling information. In this embodiment, the expert list is not only generated by the expert platform in advance according to the expert name, the expert department and the expert scheduling information, but also generated by the expert platform, and the expert platform receives the expert consultation sent by the network hospital platform. After the request, the screening is generated based on the patient information therein. In a preferred embodiment of the embodiment, the step S60 is performed before the step S10 is performed.
  • the invention also provides a network hospital platform.
  • FIG. 5 is a schematic structural diagram of a first embodiment of a network hospital platform according to the present invention.
  • the network hospital platform includes:
  • the message receiving module 101 is configured to receive an expert consultation request message sent by the user terminal, where the expert consultation request message includes patient information;
  • the transceiver module 102 is configured to send an expert consultation request including patient information to the expert platform, and receive a list of experts provided by the expert platform according to the patient information;
  • the matching module 103 is configured to match the corresponding expert information in the expert list, determine the consultation information, and send the expert information and the consultation information to the expert platform, and the expert platform sends the patient information and the consultation information to the matching expert.
  • the user terminal logs in to the network hospital platform, and sends an expert consultation request message to the network hospital platform.
  • the expert consultation request message includes patient information, and the patient information includes at least the patient name, age, gender, and family medical history. Basic information, as well as information about the patient's current condition.
  • the message receiving module 101 of the network hospital platform receives the expert consultation request message, and reviews the disease information therein to determine whether it is necessary to request an expert consultation for the patient's current condition information.
  • the expert consultation request is sent to the expert platform through the transceiver module 102, and the expert consultation request includes the patient information; after receiving the expert consultation request, the expert platform is in the expert according to the patient information.
  • the library is screened, a list of experts corresponding to the patient information is filtered out, and the list of experts is provided to the network hospital platform.
  • the matching module 103 selects in the expert list, that is, matches the expert information corresponding to the patient information, and the expert information includes at least related information such as an expert name, an expert department, and an expert scheduling information, and then determines the consultation information according to the matched expert information.
  • the consultation information includes at least the consultation time and the location of the consultation to indicate to the expert the specific consultation method, and the matched expert information and consultation information are sent to the expert platform for the expert platform to receive the patient information according to the expert information.
  • the consultation information is sent to the expert corresponding to the expert information, and the expert is prompted to conduct consultation according to the consultation time and the consultation place.
  • the network hospital platform After receiving the expert consultation request message including the patient information sent by the user terminal, the network hospital platform sends an expert consultation request including the patient information to the expert platform, and matches the expert list provided by the expert platform according to the patient information. Expert information and identification of consultation information for the expert platform to send patient information and consultation information to matching experts. Through the network hospital platform, the expert platform is requested to consult the expert platform, and after the expert platform returns to the expert list, the corresponding experts are matched.
  • the consultation information can be determined according to the expert scheduling information, without manual reservation, and no need to wait for a long time, thereby improving The appointment efficiency of the expert consultation has improved the timeliness of the appointment and reduced the appointment period.
  • the matching module 103 is specifically configured to:
  • Consultation information is determined based on expert scheduling information.
  • the matching module 103 may first select the information of the corresponding expert in the expert list according to the disease information in the patient information, and may perform the precise selection under the department selection item. The choice, select one or more of the best matching experts; after matching the corresponding expert information, according to the selected expert's scheduling time, determine the consultation information, that is, according to the expert's scheduling time, determine that the experts have free time as Consultation time and determine the location of the consultation.
  • the network hospital platform sends the matched expert information and the determined consultation information to the expert platform for the expert platform to send to the corresponding expert.
  • FIG. 6 is a schematic structural diagram of a second embodiment of a network hospital platform according to the present invention.
  • the network hospital platform further includes a verification module 104, and the verification module 104 is configured to:
  • the network hospital platform is connected to the expert platform, and must be registered with the expert platform in advance. After the registration is successful, the expert platform allocates login information including the user name and the login password to the network hospital platform.
  • the verification module 104 sends a verification request to the expert platform, where the verification request includes the login information to request to log in to the expert platform, and the expert platform verifies the login information, that is, determines the login. Whether the information is correct, feedback to the network hospital platform after the determination is correct, the network hospital platform can establish a connection with the expert platform.
  • the invention also provides an expert platform.
  • FIG. 7 is a schematic structural diagram of a first embodiment of an expert platform according to the present invention.
  • the expert platform includes:
  • the request receiving module 201 is configured to receive an expert consultation request sent by the network hospital platform, where the expert consultation request includes patient information and consultation information;
  • the list providing module 202 is configured to provide a corresponding expert list to the network hospital platform according to the patient information
  • the information sending module 203 is configured to send the patient information and the consultation information sent by the network hospital to the matching experts.
  • the user terminal logs in to the network hospital platform, and sends an expert consultation request message to the network hospital platform, where the expert consultation request message includes patient information, and the patient information includes at least the patient name and age.
  • Basic information such as gender, family history, and current patient information.
  • the network hospital platform will review the disease information to determine whether it is necessary to request an expert consultation on the patient's current condition information.
  • the network hospital platform determines the current disease information of the patient, and when requesting the expert consultation, sends an expert consultation request to the expert platform, the expert consultation request includes the patient information; the request receiving module 201 of the expert platform receives the expert consultation request, and the expert information is based on the patient information.
  • the library performs screening, selects a list of experts corresponding to the patient information, and then provides the list of experts to the network hospital platform through the list providing module 202.
  • a keyword matching method for example, extracting keywords corresponding to the disease information in the patient information, and screening and filtering in the expert database according to the extracted keywords.
  • a list of experts corresponding to the disease information is preferred to adopt a keyword matching method, for example, extracting keywords corresponding to the disease information in the patient information, and screening and filtering in the expert database according to the extracted keywords.
  • the network hospital platform matches the expert information corresponding to the patient information, and the expert information includes at least the relevant information of the expert name, the expert department and the expert scheduling information, and then determines the consultation information according to the matched expert information, and the consultation information includes at least the consultation time and the consultation. Information such as location to indicate to the expert the specific consultation method, and send the matched expert information and consultation information to the expert platform.
  • the information sending module 203 of the expert platform sends the received patient information and the consultation information to the expert corresponding to the expert information according to the expert information, and prompts the expert to conduct consultation according to the consultation time and the consultation place.
  • the network hospital platform After receiving the expert consultation request message including the patient information sent by the user terminal, the network hospital platform sends an expert consultation request including the patient information to the expert platform, and matches the expert list provided by the expert platform according to the patient information. Expert information and determine consultation information; the expert platform sends patient information and consultation information to matching experts. Through the network hospital platform, the expert platform is requested to consult the expert platform, and after the expert platform returns to the expert list, the corresponding experts are matched.
  • the consultation information can be determined according to the expert scheduling information, without manual reservation, and no need to wait for a long time, thereby improving The appointment efficiency of the expert consultation has improved the timeliness of the appointment and reduced the appointment period.
  • FIG. 8 is a schematic structural diagram of a second embodiment of an expert platform according to the present invention.
  • the expert platform further includes:
  • the list generating module 204 is configured to obtain expert information of each hospital, classify the experts according to the expert department, and generate an expert list according to the expert name, the expert department, and the expert scheduling information.
  • the expert platform obtains expert information from various hospitals, including the basic information such as the name, department, and illness of the expert, as well as the personal resume of the expert and the scheduling information of the expert in the hospital, and the experts obtained through the list generation module 204.
  • the data is classified.
  • the specific classification can be classified according to the department. It can also be classified according to the expert's scheduling information or other information.
  • the expert list is generated according to the expert's name, department, good at illness and scheduling information. .
  • the expert list is not only generated by the expert platform in advance according to the expert name, the expert department and the expert scheduling information, but also generated by the expert platform, and the expert platform receives the expert consultation sent by the network hospital platform.
  • the screening is generated based on the patient information therein.

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  • General Business, Economics & Management (AREA)
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Abstract

L'invention a trait à un procédé de demande de consultation d'expert basé sur une plateforme d'hôpital en réseau. Selon ledit procédé : une plateforme d'hôpital en réseau reçoit un message de demande de consultation d'expert qui est envoyé par un terminal utilisateur et qui comprend des informations de patient; la plateforme d'hôpital en réseau envoie une demande de consultation d'expert à une plateforme d'experts, et reçoit une liste d'experts fournie, selon les informations de patient, par ladite plateforme d'experts; la plateforme d'hôpital en réseau trouve des informations d'expert correspondant dans la liste d'experts, et détermine des informations de consultation; et la plateforme d'experts envoie les informations de patient et les informations de consultation, envoyées par la plateforme d'hôpital en réseau, à un expert trouvé. La présente invention concerne également une plateforme d'hôpital en réseau et une plateforme d'experts. Une plateforme d'hôpital en réseau demande à une plateforme d'experts une consultation d'expert, un expert correspondant est trouvé après que la plateforme d'experts a renvoyé une liste d'experts, et des informations de consultation peuvent être déterminées en fonction d'informations d'organisation relatives à l'expert, de sorte que les rendez-vous manuels ainsi que les longs temps d'attente sont inutiles, ce qui rend le rendez-vous de la consultation d'expert plus efficace et plus opportun, et la période de rendez-vous plus courte.
PCT/CN2015/085115 2015-05-09 2015-07-24 Plateforme d'hôpital en réseau, plateforme d'experts et procédé de demande de consultation d'expert WO2016179903A1 (fr)

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CN201510233755.0A CN104899428A (zh) 2015-05-09 2015-05-09 网络医院平台、专家平台以及专家会诊请求方法

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CN101625714A (zh) * 2009-08-13 2010-01-13 北京中医药大学 一种中医远程诊疗系统
CN102085116A (zh) * 2010-12-08 2011-06-08 华中科技大学 一种基于多网融合的多功能远程医疗护理系统

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CN117316438A (zh) * 2023-11-29 2023-12-29 北京中薪科技有限公司 基于ai的中医专家远程医疗辅助系统
CN117316438B (zh) * 2023-11-29 2024-02-06 北京中薪科技有限公司 基于ai的中医专家远程医疗辅助系统

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